Understanding Variable Well Performance in a Chalk Reservoir
- Shah Kabir (Hess Corporation) | Ramin Haftbaradaran (Hess Norge) | Reza Asghari (Hess Norge) | Johanna Sastre (Hess Norge)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- January 2016
- Document Type
- Journal Paper
- 83 - 94
- 2016.Society of Petroleum Engineers
- Rate-transient analysis helped understand cyclic production and gas-lift performance behaviors , Idle periods need collapsing for valid DCA, Decline-curve analysis in chalk reservoir, Capacitance-resistance modeling augments performance charateristics, Cum Prod curve analysis retains solution objectivity
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Analyzing well performance is a complex process that increase in difficulty when multiple reservoir-drive mechanisms are in play in the same reservoir. This paper explores an overpressured, compacting chalk reservoir with high porosity and high oil saturation at initial conditions. The diverse drive mechanisms, experienced through the long production history of Valhall Field in Norway, are caused by different degrees of reservoir compaction across the field and the recent waterflood at the crest and northern areas of the field. The purpose of this study is to illuminate the various drive mechanisms experienced in this field. The underlying objective is to understand widely varying Arps b-factors in decline-curve analysis (DCA) that support production forecasting and project evaluation. The performances of inactive wells with long production histories were used as analogs to analyze active wells. Other analytical tools also were used to augment overall understanding of a type well’s performance, including rate-transient analysis (RTA) and capacitance/resistance modeling (CRM). This study demonstrates that the proposed work flow for reservoir-performance forecasting can be adopted in highly complex reservoirs with different rock-mechanical properties, drive mechanisms, production scheduling, and field-development strategies. Specifically, the work flow entails establishing energy support for individual wells by use of Arps b-factor with DCA; collapsing shut-in periods, if any, and using the cumulative production curve for DCA to retain solution objectivity; performing RTA to gauge pressure/rate coherence and system’s linearity; and using CRM to establish injector/producer connectivity.
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